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      Meta‐analysis shows that environmental DNA outperforms traditional surveys, but warrants better reporting standards

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          Abstract

          1. Decades of environmental DNA (eDNA) method application, spanning a wide variety of taxa and habitats, has advanced our understanding of eDNA and underlined its value as a tool for conservation practitioners. The general consensus is that eDNA methods are more accurate and cost‐effective than traditional survey methods. However, they are formally approved for just a few species globally (e.g., Bighead Carp, Silver Carp, Great Crested Newt). We conducted a meta‐analysis of studies that directly compare eDNA with traditional surveys to evaluate the assertion that eDNA methods are consistently “better.”

          2. Environmental DNA publications for multiple species or single macro‐organism detection were identified using the Web of Science, by searching “eDNA” and “environmental DNA” across papers published between 1970 and 2020. The methods used, focal taxa, habitats surveyed, and quantitative and categorical results were collated and analyzed to determine whether and under what circumstances eDNA outperforms traditional surveys.

          3. Results show that eDNA methods are cheaper, more sensitive, and detect more species than traditional methods. This is, however, taxa‐dependent, with amphibians having the highest potential for detection by eDNA survey. Perhaps most strikingly, of the 535 papers reviewed just 49 quantified the probability of detection for both eDNA and traditional survey methods and studies were three times more likely to give qualitative statements of performance.

          4. Synthesis and applications: The results of this meta‐analysis demonstrate that where there is a direct comparison, eDNA surveys of macro‐organisms are more accurate and efficient than traditional surveys. This conclusion, however, is based on just a fraction of available eDNA papers as most do not offer this granularity. We recommend that conclusions are substantiated with comparable and quantitative data. Where a direct comparison has not been made, we caution against the use of qualitative statements about relative performance. This consistency and rigor will simplify how the eDNA research community tracks methods‐based advances and will also provide greater clarity for conservation practitioners. To this end suggest reporting standards for eDNA studies.

          Abstract

          A meta‐analysis shows that environmental DNA outperforms traditional methods for biodiversity monitoring, both in terms of cost and efficiency.

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          Most cited references130

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          The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.

          Currently, a lack of consensus exists on how best to perform and interpret quantitative real-time PCR (qPCR) experiments. The problem is exacerbated by a lack of sufficient experimental detail in many publications, which impedes a reader's ability to evaluate critically the quality of the results presented or to repeat the experiments. The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency. MIQE is a set of guidelines that describe the minimum information necessary for evaluating qPCR experiments. Included is a checklist to accompany the initial submission of a manuscript to the publisher. By providing all relevant experimental conditions and assay characteristics, reviewers can assess the validity of the protocols used. Full disclosure of all reagents, sequences, and analysis methods is necessary to enable other investigators to reproduce results. MIQE details should be published either in abbreviated form or as an online supplement. Following these guidelines will encourage better experimental practice, allowing more reliable and unequivocal interpretation of qPCR results.
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            Environmental DNA for wildlife biology and biodiversity monitoring.

            Extraction and identification of DNA from an environmental sample has proven noteworthy recently in detecting and monitoring not only common species, but also those that are endangered, invasive, or elusive. Particular attributes of so-called environmental DNA (eDNA) analysis render it a potent tool for elucidating mechanistic insights in ecological and evolutionary processes. Foremost among these is an improved ability to explore ecosystem-level processes, the generation of quantitative indices for analyses of species, community diversity, and dynamics, and novel opportunities through the use of time-serial samples and unprecedented sensitivity for detecting rare or difficult-to-sample taxa. Although technical challenges remain, here we examine the current frontiers of eDNA, outline key aspects requiring improvement, and suggest future developments and innovations for research. Copyright © 2014 Elsevier Ltd. All rights reserved.
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              “Sight-unseen” detection of rare aquatic species using environmental DNA

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                Author and article information

                Contributors
                v.savolainen@imperial.ac.uk
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                18 March 2021
                May 2021
                : 11
                : 9 ( doiID: 10.1002/ece3.v11.9 )
                : 4803-4815
                Affiliations
                [ 1 ] Department of Life Sciences Imperial College London London UK
                [ 2 ] Thomson Environmental Consultants Compass House Surrey Research Park Guildford UK
                Author notes
                [*] [* ] Correspondence

                Vincent Savolainen, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, London SL5 7PY, UK.

                Email: v.savolainen@ 123456imperial.ac.uk

                Author information
                https://orcid.org/0000-0001-5350-9984
                Article
                ECE37382
                10.1002/ece3.7382
                8093654
                33976849
                aa2f9997-8c36-4afd-891b-e6413e1c2331
                © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 February 2021
                : 29 October 2020
                : 12 February 2021
                Page count
                Figures: 8, Tables: 1, Pages: 13, Words: 10046
                Funding
                Funded by: Natural Environment Research Council , open-funder-registry 10.13039/501100000270;
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                May 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:04.05.2021

                Evolutionary Biology
                ecological survey,environmental dna,meta‐analysis,probability of detection,species detection,traditional methods

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